MISTK is an ecosystem for integrating, validating, and evaluating machine learning models and algorithms.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
It is expected to that the following software is installed on the system when building the MISTK toolkit:
Python 3.6
Pip
Docker
In order to develop algorithms to be integrated into MISTK, the MISTK Core Library (and its dependencies) must be available on PYTHONPATH.
You can download them down from the MISTK Github Repository Releases Page
and install the wheel files pip with::
pip install mistk-*-py3-none-any.whl
Verify that mistk is now installed on PYTHON PATH by running::
>>> import mistk
See full MISTK Documentation for detailed installation instructions and to get started with the toolkit.